{
  "id": 2408117,
  "title": "Govern AI agent tool access with Amazon Bedrock AgentCore Gateway",
  "url": "https://urgent.news/2026/08/21/govern-ai-agent-tool-access-with-amazon-bedrock-agentcore-gateway",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-21T17:02:35.000Z",
  "source": {
    "name": "AWS Machine Learning",
    "slug": "aws-machine-learning",
    "url": "https://aws.amazon.com/blogs/machine-learning/govern-ai-agent-tool-access-with-amazon-bedrock-agentcore-gateway/"
  },
  "original_language": "en",
  "account": null,
  "summary": "AWS has introduced Amazon Bedrock AgentCore Gateway as a solution to address security concerns surrounding access to internal tools for AI agents. This gateway serves as a single, secure entry point for agentic traffic, providing centralized authentication, authorization, and credential management through AgentCore Identity. By implementing AgentCore Policy, organizations can define and enforce security controls for AI agent interactions with tools, while Amazon Bedrock Guardrails can augment these policies with additional safety and privacy measures. The AWS Agent Registry can be utilized to build a centralized catalog for organizing, curating, and discovering tools. The post also highlights the importance of addressing structural breakdown patterns in enterprise systems, such as credential sprawl, policy drift, audit gaps, cost opacity, and shadow IT. The proposed solution involves a four-scope maturity journey, beginning with the implementation of a governed gateway as the first step towards securing AI agent interactions with internal tools.",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}